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Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale

Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf sc...

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Autores principales: Hikosaka, Kouki, Tsujimoto, Katsuto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245396/
https://www.ncbi.nlm.nih.gov/pubmed/34019204
http://dx.doi.org/10.1007/s10265-021-01313-4
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author Hikosaka, Kouki
Tsujimoto, Katsuto
author_facet Hikosaka, Kouki
Tsujimoto, Katsuto
author_sort Hikosaka, Kouki
collection PubMed
description Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf scale. Light energy absorbed by photosystem II chlorophylls is allocated to photochemistry, fluorescence, and heat dissipation evaluated as non-photochemical quenching (NPQ). PRI is correlated with NPQ because it reflects the composition of xanthophylls, which are involved in heat dissipation. Assuming that NPQ is uniquely related to the photochemical efficiency (quantum yield of photochemistry), photochemical efficiencies can be assessed from either chlorophyll fluorescence or PRI. However, this assumption may not be held under some conditions such as low temperatures and photoinhibitory environments. Even in such cases, photosynthesis may be estimated more accurately if both chlorophyll fluorescence and PRI are determined simultaneously. To convert from photochemical efficiency to CO(2) assimilation, environmental responses in stomatal conductance also need to be considered. Models linking chlorophyll fluorescence and PRI with CO(2) assimilation rates will contribute to understanding and future prediction of the global carbon cycle.
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spelling pubmed-82453962021-07-14 Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale Hikosaka, Kouki Tsujimoto, Katsuto J Plant Res JPR Symposium Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf scale. Light energy absorbed by photosystem II chlorophylls is allocated to photochemistry, fluorescence, and heat dissipation evaluated as non-photochemical quenching (NPQ). PRI is correlated with NPQ because it reflects the composition of xanthophylls, which are involved in heat dissipation. Assuming that NPQ is uniquely related to the photochemical efficiency (quantum yield of photochemistry), photochemical efficiencies can be assessed from either chlorophyll fluorescence or PRI. However, this assumption may not be held under some conditions such as low temperatures and photoinhibitory environments. Even in such cases, photosynthesis may be estimated more accurately if both chlorophyll fluorescence and PRI are determined simultaneously. To convert from photochemical efficiency to CO(2) assimilation, environmental responses in stomatal conductance also need to be considered. Models linking chlorophyll fluorescence and PRI with CO(2) assimilation rates will contribute to understanding and future prediction of the global carbon cycle. Springer Singapore 2021-05-21 2021 /pmc/articles/PMC8245396/ /pubmed/34019204 http://dx.doi.org/10.1007/s10265-021-01313-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle JPR Symposium
Hikosaka, Kouki
Tsujimoto, Katsuto
Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title_full Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title_fullStr Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title_full_unstemmed Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title_short Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
title_sort linking remote sensing parameters to co(2) assimilation rates at a leaf scale
topic JPR Symposium
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245396/
https://www.ncbi.nlm.nih.gov/pubmed/34019204
http://dx.doi.org/10.1007/s10265-021-01313-4
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